Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

Prof. Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

Professor at Northeastern University, United States

Saeed Amal  is an accomplished researcher in Artificial Intelligence (AI) with a strong focus on healthcare and precision medicine. Currently serving as an Assistant Research Professor at Northeastern University, his work integrates cutting-edge AI methodologies such as deep learning, machine learning, and generative AI to address complex challenges in healthcare. With extensive experience spanning academia and industry, Saeed’s contributions are shaping the future of personalized medicine and intelligent healthcare solutions.

Profile

ORCID

Education🎓

Saeed’s academic journey reflects his dedication to innovation and interdisciplinary learning. He earned his Ph.D. in Computer Science from Haifa University , where he conducted pioneering research on machine learning, information retrieval, and recommender systems. During his postdoctoral fellowships at Stanford University and Haifa University, he expanded his expertise in deep learning, natural language processing (NLP), and healthcare applications of AI. His educational background also includes a Master’s degree in Computer Science and a Bachelor’s degree in the same field from Technion – Israel Institute of Technology, graduating with honors.

Professional Experience💼

Saeed’s professional journey is marked by impactful roles across academia and industry . At Northeastern University, he leads research on precision medicine, leveraging AI to detect and prevent diseases. His industry tenure includes roles as a Data Scientist and Researcher at Cognitech Smart AI, Dynamic Yield, and General Motors, where he developed AI-driven solutions for healthcare, recommender systems, and NLP. Saeed also has experience as a software engineer at Attunity and AMDOCS, designing large-scale systems with a focus on quality and performance. These experiences underscore his ability to translate theoretical AI concepts into practical, scalable applications.

Research Interests🏥

Saeed’s research interests lie at the intersection of AI and healthcare . His work focuses on the use of AI for early disease detection, multi-modal data integration, and improving diagnostic accuracy. He specializes in deep learning, NLP, large language models (LLM), and image processing to create advanced systems for precision medicine. His vision is to revolutionize healthcare through technology, making diagnosis and treatment more efficient and accessible. Saeed also has significant interest in explainable AI and its application to improve the interpretability and trustworthiness of AI systems.

Awards and Recognitions🏆

Saeed has received several accolades for his contributions to AI and healthcare . He has been a keynote and plenary speaker at major international conferences, including the “3rd International Conference on AI, ML, Data Science, and Robotics” in Rome (2023) and the “Public Health and Healthcare Management Conference” in Dubai (2023). He also chairs special sessions, such as the “Artificial Intelligence and Multimodal Data for Improving Disease Care” at the International Conference on Medical and Health Sciences. These roles highlight his leadership and impact in the global AI community.

Publications📚

“Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams”

  • Year: 2025-01-21
  • DOI: 10.3390/biomedicines13020258

“Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome”

  • Year: 2024-12-25
  • DOI: 10.3390/v17010012

“Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma”

  • Year: 2024-11-25 (Preprint)
  • DOI: 10.20944/preprints202411.1804.v1

“Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset”

  • Year: 2024-11-21 (Preprint)
  • DOI: 10.20944/preprints202411.1615.v1

“Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset”

  • Year: 2024-08-12
  • DOI: 10.3390/diagnostics14161746

“Segmenting Tumor Gleason Pattern Using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset”

  • Year: 2024-06-28 (Preprint)
  • DOI: 10.20944/preprints202406.2019.v1

“Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset”

  • Year: 2024-06-18
  • DOI: 10.3390/bioengineering11060624

“Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology”

  • Year: 2024-06-14
  • DOI: 10.3390/cancers16122222

“Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application”

  • Year: 2023-11-30
  • DOI: 10.3390/cancers15235659

Conclusion🌟

Dr. Saeed Amal is a highly suitable candidate for the Research for Best Researcher Award. With a strong foundation in AI for healthcare, an impressive publication record, and a clear demonstration of leadership in the scientific community, he embodies the qualities of an outstanding researcher. Enhancing public engagement and focusing on broader societal impacts can further bolster his profile for such recognitions.

Yuhang Shi | Smart Biophotonics Applications | Best Researcher Award

Mr. Yuhang Shi | Smart Biophotonics Applications | Best Researcher Award

Student at Dalian Jiaotong University, China

Yuhang Shi is a dedicated student at Dalian Jiaotong University, passionate about the field of microalgae detection. With a strong foundation in marine microbial research and advanced deep learning methodologies, Yuhang is contributing to cutting-edge solutions for environmental and biological challenges.

Profile

 

Education🎓

Yuhang completed a Master’s degree in Microalgae Detection at Dalian Jiaotong University. His academic journey has been focused on mastering the intricacies of marine microbial detection and integrating innovative technologies to enhance precision and efficiency in the field.

Experience🔬

With extensive experience in marine microbial research, Yuhang has specialized in the application of advanced deep learning models for microalgae identification. He has contributed significantly to the development of feature-enhanced detection models, showcasing his expertise in blending computational technology with biological sciences.

Research Interest🌿

Yuhang’s primary research interest lies in microalgae detection. His work involves creating and refining lightweight, efficient deep learning models that address the challenges of marine microbial detection, paving the way for ecological and industrial advancements.

Awards🏆

While specific awards are not mentioned, Yuhang’s work in developing innovative detection models positions him as a strong contender for accolades in environmental technology and computational biology.

Publications📚

Yuhang has contributed to prestigious journals with impactful research articles, including:

  1. “FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection” (2023) – Read here.
  2. “GIFF-AlgaeDet: An Effective and Lightweight Deep Learning Method Based on Global Information and Feature Fusion for Microalgae Detection” (2024).

These works have been cited by researchers exploring environmental monitoring and computational biology.

Conclusion🌏

Yuhang Shi exemplifies a blend of academic excellence and innovative thinking, driving forward advancements in microalgae detection with a commitment to environmental sustainability. His contributions to research and development make him a deserving nominee for recognition in scientific and technological fields.

Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

Mr. Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

Student at Universidad Politecnica de Madrid, Spain

Alfonso Lainez Muñiz is an ambitious student and researcher with a robust academic foundation in aerospace engineering. A graduate of the Universidad Politécnica de Madrid, Alfonso specializes in flow visualization and particle tracking techniques, bringing innovation to the field through cost-effective methodologies. He actively seeks to bridge gaps in advanced research with resourceful solutions, making science accessible and impactful.

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ORCID

Education📚🎓

Alfonso holds both a Bachelor’s and Master’s degree in Aerospace Engineering from the Universidad Politécnica de Madrid. His rigorous training has provided him with expertise in aerodynamics, propulsion, and experimental techniques. His academic journey is marked by a passion for problem-solving and hands-on exploration, as evidenced by his innovative research endeavors.

Experience🚀🛠️

Alfonso has contributed to academic and research domains, emphasizing his practical knowledge. His consultancy work on optimizing velocity field measurement using MATLAB and 3D-printed particles highlights his proficiency in designing cost-efficient systems. Alfonso also holds membership in the Colegio Oficial Ingenieros Aeronáuticos de España, showcasing his engagement with professional communities.

Research Interests🌐🔬

Alfonso’s research interests lie at the intersection of aerospace engineering and flow visualization. He is dedicated to developing accessible tools for velocity field measurements, focusing on affordability, accuracy, and simplicity. His work integrates computational modeling, material science, and MATLAB programming to provide sustainable solutions for educational and investigative purposes.

Awards🏆🌟

Alfonso is currently nominated for the prestigious World Biophotonics Research Awards in the category of Best Researcher Award. This nomination recognizes his innovative approach to particle tracking methodologies, which offer an economical yet precise alternative to conventional flow measurement systems.

Publications📝📖

Alfonso’s notable publication is:

  • “Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization” (2024). Published in MDPI Aerospace, this paper is accessible via MDPI Aerospace.

It has been cited in studies focusing on cost-effective methods in flow visualization. Alfonso’s work is gaining recognition for its practical applications in university-level research.

Conclusion🚀🎉

Alfonso Lainez Muñiz’s application demonstrates significant potential for the Best Researcher Award, particularly due to the innovative nature and practical impact of his research. However, expanding the research output, achieving citations, and fostering broader engagement could strengthen his candidacy for future awards. His work aligns well with the goals of promoting accessible and impactful research, making him a commendable candidate for recognition.

 

Nurcan Dogan | Imaging Technology Development | Best Researcher Award

Prof. Dr. Nurcan Dogan | Imaging Technology Development | Best Researcher Award

Professor at Istanbul Technical University, Turkey

Dr. Nurcan Dogan Bingolbali is a Professor in the Department of Physics Engineering at Istanbul Technical University, Türkiye. With an extensive career in academia and research, she has contributed significantly to fields such as medical imaging, nanomaterials, spectroscopy, and security-defense technologies. Her expertise spans from magnetic resonance imaging (MRI) to advanced spectroscopy techniques and applied nanotechnology for biomedical applications.

Profile

Scopus

Education 🎓

  • Ph.D. in Physics (Gebze Technical University, 2011): Developed techniques for materials analysis using NMR/NQR principles.
  • M.S. in Physics (Inonu University, 2005): Specialized in superconducting film fabrication.
  • B.S. in Physics (Inonu University, 2003): Laid the foundation for her expertise in physics and materials science.

Experience 🏫

  • Professor (Istanbul Technical University, 2023–Present)
  • Professor (Gebze Technical University, 2022–2023)
  • Associate Professor (Gebze Technical University, 2019–2022)
  • Postdoctoral research at the University of California, Berkeley (2012–2013), focusing on hyperpolarized Xe NMR and MRI.

Research Interests 🔬

Dr. Dogan’s research interests include:

  • Medical Imaging: Innovations in MRI and Magnetic Particle Imaging (MPI).
  • Nanomaterials: Designing magnetic nanoparticles for biomedical and industrial applications.
  • Spectroscopy: Expertise in NMR, UV, FT-IR, and Raman techniques.
  • Applied Research: Developing magnetic sensors and designing superconducting magnets.

Awards 🏆

  • 6th GIV Entrepreneurship Awards (2018): Recognized for her innovative project.
  • Postdoctoral Research Scholarship (TUBITAK, 2013): Supported research at UC Berkeley.
  • Erasmus Exchange Program for Ph.D. Studies (2010): Enhanced her international academic experience.

Publications 📚

Valorization and Repurposing of Citrus limetta Fruit Waste for Fabrication of Multifunctional AgNPs and Their Diverse Nanomedicinal Applications

  • Year: 2024
  • Citations: 3

ZnxFe3 –xO4 (0 x 1.0) Magnetic Nanoparticles Functionalized with Polyacrylic Acid (PAA)

  • Year: 2023
  • Citations: 1

Synthesis and characterization of biocompatible ZnFe2O4 nanoparticles for magnetic particle imaging (MPI)

  • Year: 2023
  • Citations: 8

Structural, Morphological, and Magnetic Characterization of Iron Oxide Nanoparticles Synthesized at Different Reaction Times via Thermal Decomposition Method

  • Year: 2023
  • Citations: 7

Manganese doped-iron oxide nanoparticles and their potential as tracer agents for magnetic particle imaging (MPI)

  • Year: 2022
  • Citations: 14

Fabrication of colloidal silver-peptide nanocomposites for bacterial wound healing

  • Year: 2022
  • Citations: 20

Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner

  • Year: 2022
  • Citations: 8

Synthesis and Characterization of Coated CoFe2O4 Nanoparticles with Biocompatible Compounds and In Vitro Toxicity Assessment on Glioma Cell Lines

  • Year: 2025
  • Citations: 0

Effect of Mg2+ doping and Mn2+ Co-doping on the structural, optical, and photocatalytic properties of CaTiO3 nanopowders prepared by the sol–gel method

  • Year: 2025
  • Citations: 0

A Systematic Look at Structural Diversity of Metal Phosphonates

  • Year: 2024
  • Citations: 0

Conclusion 🤝

Dr. Nurcan Dogan Bingolbali is an outstanding candidate with exemplary achievements in research and academia. Her contributions to nanotechnology, medical imaging, and spectroscopy underscore her dedication to advancing science. Addressing the areas for improvement could further solidify her candidacy and broaden her impact, making her a compelling nominee for the Best Researcher Award.

Hasi Rani Barai | Biophotonics in Diagnostics | Best Researcher Award

Assist. Prof. Dr. Hasi Rani Barai | Biophotonics in Diagnostics | Best Researcher Award

Assistant Professor at Yeungnam University, South Korea

Dr. Barai Hasi Rani is an Assistant Professor at Yeungnam University, Korea, specializing in the field of Chemistry and Nanoscience. She has dedicated her career to advancing knowledge in nanotechnology, electrochemistry, and material science. A strong academic leader, Dr. Barai also serves as a Senior Scientist in the American Chemical Society (ACS) and holds editorial positions at prestigious engineering journals. With years of international research experience, she has significantly contributed to the fields of nanomaterials and energy systems, delivering numerous presentations and publications globally.

Profile

Google Scholar

Education 🎓

Dr. Barai completed her Ph.D. in Physical Organic Chemistry from Inha University, Korea, in 2013, after earning her M.S. in Physical Chemistry from Dhaka University, Bangladesh, in 2008. Her solid foundation in physical chemistry and her postdoctoral experiences at Ewha Womans University and Sogang University in Korea have shaped her into a leading researcher in the field of nanomaterials and their applications in energy and biomedical sectors.

Experience 💼

Since 2015, Dr. Barai has been an Assistant Professor at Yeungnam University, where she teaches and mentors students in the School of Mechanical and IT Engineering. Her previous postdoctoral positions in Chemistry and Nanoscience at Ewha Womans University and KCAP-Korea Center for Artificial Photosynthesis further enriched her research profile, laying the groundwork for her groundbreaking work in nanotechnology, supercapacitors, and material sciences.

Research Interests 🔬

Dr. Barai’s research is centered around the development of nanomaterials, electrochemistry, and their applications in energy storage, biosensors, and environmental sustainability. She is particularly interested in the development of self-assembly methods for quantum dots and their potential applications in energy storage and biomedical fields. Other focus areas include thermal storage effectiveness and novel materials for advanced batteries and coatings.

Awards 🏆

Dr. Barai has earned various accolades throughout her career. She is a proud member of several professional organizations such as the ACS, KCS, and BCS. Her work has been recognized globally, and she has received invitations for multiple editorial appointments. Dr. Barai is also a Guest Editor at Polymers (SCIE-4.329 MDPI journal) and serves as a reviewer for several renowned scientific journals, further affirming her expertise in her research fields.

Publications 📚

Dr. Barai has made significant contributions to scientific literature, with a total of 83 peer-reviewed publications in journals indexed by SCI and Scopus. Her recent works include:

Boosting the Electrochemical Performance of Polyaniline by One-Step Electrochemical Deposition on Nickel Foam for High-Performance Asymmetric Supercapacitor

  • Year: 2022
  • Cited by: 90

Graphical abstract

  • Year: 2018
  • Cited by: 71

Functional thermoresponsive hydrogel molecule to material design for biomedical applications

  • Year: 2022
  • Cited by: 49

Synthesis of Cu-Doped Mn3O4@Mn-Doped CuO Nanostructured Electrode Materials by a Solution Process for High-Performance Electrochemical

  • Year: 2020
  • Cited by: 47

Synthesis of amorphous manganese oxide nanoparticles–to–crystalline nanorods through a simple wet-chemical technique using K+ ions as a ‘growth director’ and their morphology

  • Year: 2016
  • Cited by: 47

Electrochemical synthesis of titanium nitride nanoparticles onto titanium foil for electrochemical supercapacitors with ultrafast charge/discharge

  • Year: 2020
  • Cited by: 46

Template-free synthesis of two-dimensional titania/titanate nanosheets as electrodes for high-performance supercapacitor applications

  • Year: 2017
  • Cited by: 38

Polymer composites with quantum dots as potential electrode materials for supercapacitors application: A review

  • Year: 2022
  • Cited by: 37

Annealing-free synthesis of K-doped mixed-phase TiO2 nanofibers on Ti foil for electrochemical supercapacitor

  • Year: 2017
  • Cited by: 34

Conducting poly(aniline blue)-gold nanoparticles composite modified fluorine-doped tin oxide electrode for sensitive and non-enzymatic electrochemical detection of glucose

  • Year: 2019
  • Cited by: 32

Her work is cited in various influential articles, highlighting her impact on the scientific community.

Conclusion 🎯

Dr. Hasi Rani Barai is a highly qualified researcher with a strong track record of contributions to the fields of nanotechnology and energy. Her leadership in both academic and editorial roles, combined with her extensive publication record, makes her an ideal candidate for the Best Researcher Award. Her continued growth in industry collaborations and patent contributions will further elevate her impact in the field.

Daniel Laskey | Lung Transplantation | Best Researcher Award

Dr. Daniel Laskey | Lung Transplantation | Best Researcher Award

Assistant Professor at Mount Sinai Hospital, United States 

Dr. Daniel Hendrik Laskey is an accomplished Assistant Professor in the Department of Thoracic Surgery at the Icahn School of Medicine, Mount Sinai Hospital. With extensive experience in cardiothoracic surgery, he is a dedicated medical professional and researcher passionate about advancing surgical techniques and improving patient outcomes. His expertise spans various innovative surgical methods, with numerous peer-reviewed publications and active roles in prestigious medical societies.

Profile

ORCID

Education📚

Dr. Laskey’s educational journey is a testament to his dedication:
🎓 Doctor of Medicine – St. George’s University (2014)
🎓 Cardiothoracic Surgery Fellow – Icahn School of Medicine (2023)
🎓 Bachelor of Science – Tufts University (2005)

He also underwent comprehensive general surgery training at New York-Presbyterian Brooklyn Methodist Hospital, where he excelled as Chief Resident.

Experience💼

Dr. Laskey has garnered significant clinical expertise, particularly during his tenure as Administrative Chief Fellow in Cardiovascular Surgery and through research roles at renowned institutions like Brigham and Women’s Hospital. His innovative mindset is reflected in his participation in cutting-edge studies on reverse thermo-sensitive polymers and lung transplantation.

Research Interests🌟

Dr. Laskey’s research focuses on:

  • Lung transplantation techniques 🌬️
  • Management of coronary artery disease in lung transplant patients 🫁
  • Improving surgical methodologies with robotics and imaging 🩻

Awards🎖️

Dr. Laskey has been recognized for his excellence with numerous accolades:
🏆 Resident of the Year (2018–2019) – New York-Presbyterian Hospital
🏆 Teaching All-Star Award (2020) – Weill-Cornell Medicine
His awards reflect his unwavering commitment to surgical education and patient care.

Publications 📖

Dr. Laskey’s scholarly contributions include:

The Impact of COVID-19 Infection Prior to Lung Resection on Postoperative Complications

  • Year: 2024
  • DOI: 10.1016/j.atssr.2024.08.004
  • Contributors: Allen T Yu, Shubham Gulati, Shivam Joshi, Alex L. Huang, Daniel Laskey, Andrea Wolf, Emanuela Taioli, Raja Flores

Intraoperative Extracorporeal Support during Lung Transplantation: Not Just for the High-Risk Patient

  • Year: 2023
  • DOI: 10.3390/jcm13010192
  • Contributors: Daniel Laskey, Brian Housman, Gbalekan Dawodu, Scott Scheinin

The Evaluation and Management of Coronary Artery Disease in the Lung Transplant Patient

  • Year: 2023
  • DOI: 10.3390/jcm12247644
  • Contributors: Gregory Serrao, Manish Vinayak, Johny Nicolas, Varsha Subramaniam, Ashton C. Lai, Daniel Laskey, Annapoorna Kini, Harish Seethamraju, Scott Scheinin

Worth a Double Take? An In-Depth Review of Lung Retransplantation

  • Year: 2023
  • DOI: 10.3390/jcm12237418
  • Contributors: Gbalekan Dawodu, Shubham Gulati, Helena Bugacov, Daniel Laskey, Brian Housman, Harish Seethamraju, Scott Scheinin

Single Lung Transplant for Secondary Pulmonary Hypertension: The Right Option for the Right Patient

  • Year: 2023
  • DOI: 10.3390/jcm12216789
  • Contributors: Brian Housman, Daniel Laskey, Gbalekan Dawodu, Scott Scheinin

Measuring the Margin Distance in Pulmonary Wedge Resection

  • Year: 2022
  • DOI: 10.1002/jso.27053
  • Contributors: Wolf A, Laskey D, Yip R, Beasley MB, Yankelevitz DF, Claudia Henschke, IELCART Investigators

Acute Lower Extremity Ischemia Following Thoracotomy Owing to Arterial Tumor Emboli

  • Year: 2019
  • DOI: 10.1016/j.athoracsur.2019.03.059
  • Contributors: Cleary C, Laskey D, Shapiro M, Paolillo S, Harrison S

Distracting Injury Defined: Does an Isolated Hip Fracture Constitute a Distracting Injury for Clearance of the Cervical Spine?

  • Year: 2017
  • DOI: 10.1007/s10140-017-1555-x
  • Contributors: Lindborg R, Jambhekar A, Vincent Chan, Laskey D, Rucinski J, Fahoum B

Temporary Targeted Renal Blood Flow Interruption Using a Reverse Thermosensitive Polymer to Facilitate Bloodless Partial Nephrectomy: A Swine Survival Study

  • Year: 2012
  • DOI: 10.1111/j.1464-410x.2012.10967.x
  • Contributors: Harty NJ, Laskey DH, Moinzadeh A, Sebastian Flacke, Benn JA, Villani R, Kalra A, Libertino JA, Madras PN

Targeted Endovascular Temporary Vessel Occlusion with a Reverse Thermosensitive Polymer for Near-Bloodless Partial Nephrectomy: Comparison to Standard Surgical Clamping Techniques

  • Year: 2011
  • DOI: 10.1007/s00270-011-0304-x
  • Contributors: Sebastian Flacke, Harty NJ, Laskey DH, Moinzadeh A, Benn JA, Villani R, Kalra A, Libertino JA, Madras PN

Conclusion 🚀

Daniel Hendrik Laskey is an exceptionally strong candidate for the Research for Best Researcher Award. His blend of clinical expertise, academic accomplishments, and impactful research aligns well with the award’s criteria. By emphasizing leadership in independent research and broader dissemination of findings, he can further solidify his position as a leading figure in his field.

BET ÇELEBİ SALTIK | Cancer Biophotonics Studies | Best Researcher Award

Mrs. BET ÇELEBİ SALTIK | Cancer Biophotonics Studies | Best Researcher Award

Professor at Hacettepe University, Turkey

Dr. Betül Çelebi Saltık is a distinguished academic and researcher specializing in stem cell sciences and tissue engineering. Currently a Professor and Head of the Department at Hacettepe University, she has contributed extensively to the fields of regenerative medicine and cellular therapy through groundbreaking research and academic leadership.

Profile

ORCID

Education 🎓

Dr. Çelebi Saltık holds a Ph.D. in Biochemistry from Laval University (2008–2012), where her research focused on the differentiation of hematopoietic stem cells. She earned her M.Sc. in Biotechnology from Ankara University (2005–2007), and a B.S. in Biology from Hacettepe University (2002–2005).

Experience 💼

Dr. Çelebi Saltık has held various academic positions, including Assistant Professor, Associate Professor, and Professor at Hacettepe University. She has also been a visiting scholar at the University of California, Los Angeles, and participated in Erasmus exchanges at the Karolinska Institute.

Research Interests 🔬

Her research interests center on stem cell applications in regenerative medicine, extracellular matrix interactions, bioreactors, and tissue engineering. Her work has advanced understanding in areas like vascular grafts, cancer stem cells, and 3D-printed biomaterials.

Awards and Honors 🏆

Dr. Çelebi Saltık has received numerous accolades, including the Science Academy’s Young Scientist Award (BAGEP, 2016–2017) and travel scholarships to prestigious conferences.

Publications 📚

Dr. Çelebi Saltık has authored impactful papers in high-ranking journals. Highlights include:

In situ formation of biocompatible and ductile protein-based hydrogels via Michael addition reaction and visible light crosslinking

  • Year: 2023
  • Citations: 1

Physico-chemical Properties and In vitro Cellular Response of Electrospun Polyurethane Nanofibers Enriched with Copper Chloride and Natural Fish Head Powder

  • Year: 2022
  • Citations: 2

A cellular regulator of the niche: telocyte

  • Year: 2023
  • Citations: 8

Methionine affects the expression of pluripotency genes and protein levels associated with methionine metabolism in adult, fetal, and cancer stem cells

  • Year: 2022
  • Citations: 14

Dermal fibroblast cells interactions with single and triple bacterial-species biofilms

  • Year: 2021
  • Citations: 1

Modeling of Artificial 3D Human Placenta

  • Year: 2022
  • Citations: 11

Microbial Stresses on Human Umbilical Cord Stem Cells

  • Year: 2021
  • Citations: 1

Different Aspects of Head and Neck Squamous Cell Carcinoma: Cancer Stem Cells, their Niche and Targeted Therapy

  • Year: 2021
  • Citations: 3

From Embryo to Adult: One Carbon Metabolism in Stem Cells

  • Year: 2021
  • Citations: 1

Transcriptome and proteome profiles of human umbilical cord vein CD146+stem cells

  • Year: 2020
  • Citations: 1

Conclusion 🌟

Dr. Betül Çelebi Saltık is a highly accomplished researcher with a remarkable record in stem cell sciences and regenerative medicine. Her contributions to scientific knowledge, mentorship, and international collaboration make her an exemplary candidate for the Best Researcher Award. Addressing the suggested areas of improvement would further solidify her status as a global leader in her field.

Yuan Mu | optics | Best Researcher Award

 Mr. Yuan Mu | optics | Best Researcher Award

student at Hefei Institutes of Physical Science, China 

🎓 Yuan Mu is a master’s student at the Graduate School of the University of Science and Technology of China (USTC), Science Island Branch. Specializing in computer application technology, Yuan’s research focuses on cutting-edge image acquisition methods for atmospheric turbulence intensity.

Profile

 

Education📚

Yuan is currently pursuing a master’s degree at USTC’s Science Island Branch. He is a part of the Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, under the Chinese Academy of Sciences. His academic journey is deeply rooted in advanced computational technologies.

Experience🧑‍💻

With expertise in atmospheric optics, Yuan has worked on three consultancy/industry projects. His innovative approach involves employing convolutional neural networks to enhance the estimation of atmospheric coherence length, providing a robust technical framework for turbulence intensity studies.

Research Interests🔬

Yuan’s research is centered on atmospheric optics, specifically the development of image acquisition methods to measure turbulence intensity. His work contributes to the field by integrating neural network methodologies for improved data precision and application.

Awards🏆

Yuan has applied for the prestigious “Best Researcher Award” under the World Biophotonics Research Awards for his significant contributions to the field of atmospheric turbulence.

Publications📄

Yuan has published an academic paper in the journal Remote Sensing (Year: Not specified in the document). His research paper has been cited in various articles, reflecting its impact and importance.

Conclusion🌟

Yuan Mu is a promising researcher whose innovative contributions in atmospheric turbulence and computational methods have positioned him as a significant figure in the field. His dedication to advancing optical science ensures a bright future in academic and professional research.

 

Thu Ha Dao | Single-photon for Quantum integrated circuit | Best Researcher Award

Dr. Thu Ha Dao | Single-photon for Quantum integrated circuit | Best Researcher Award

Postdoc researcher at Istituto Nazionale di Fisica Nucleare – sezione di Roma Tor Vergata, Italy

Thu Ha Dao is a dedicated physicist and researcher with expertise in quantum photonics and silicon photonics. Currently based in Rome, Italy, she works as a Postdoctoral Researcher at the National Institute of Nuclear Physics (INFN), Tor Vergata section. Her work bridges advanced quantum technologies, photonic integrated circuits, and spectroscopy.

Profile

Scopus

Education 🎓

Thu Ha holds a Bachelor’s degree in Physical Sciences from Hanoi University of Science, Vietnam (2012–2016). She pursued her Master’s in Physics at the University of Camerino, Italy (2016–2019), where she explored spectroscopic modifications in Li+ battery cathodes. Her doctoral research at the University of Rome Tor Vergata (2020–2023) focused on “Silicon Photonics Integrated Circuits for Quantum Computation,” earning her a PhD in Industrial Engineering.

Professional Experience 💼

  • Researcher at Tor Vergata University (2019–2020): Contributed to the NARAs project, focusing on arsenic detection in water, as well as 3D printing and Spectroscopic Ellipsometer studies.
  • Postdoctoral Researcher at INFN, Rome Tor Vergata (2023–Present): Participates in the QUANTEP project, designing and characterizing photonic integrated circuits (PICs) using Python, IPKISS, and Lumerical software.

Research Interests 🔬

Thu Ha’s research interests lie in quantum photonics, silicon photonic integrated circuits, spectroscopy, and quantum computing technologies. She actively contributes to bridging fundamental physics with practical applications in quantum technology.

Awards and Achievements 🏆

  • Invited speaker at the Italian Physical Society 107th National Congress (2021).
  • Presenter at multiple prestigious conferences such as GWADW 2021, GCMSN 2023, and the International Quantum Materials and Structured Light Workshop 2024.

Publications 📚

Linearly multiplexed Photon Number Resolving single-photon detectors array

  • Journal: Optics Communications
  • Year: 2025
  • Citations: 0

Integrated Photonic Passive Building Blocks on Silicon-on-Insulator Platform

  • Journal: Photonics
  • Year: 2024
  • Citations: 2

Hybrid Integrated Silicon Photonics Based on Nanomaterials

  • Journal: Photonics
  • Year: 2024
  • Citations: 0

Solid-State Color Centers for Single-Photon Generation

  • Journal: Photonics
  • Year: 2024
  • Citations: 5

Quantum Information with Integrated Photonics

  • Journal: Applied Sciences (Switzerland)
  • Year: 2024
  • Citations: 6

Polarization Control in Integrated Graphene-Silicon Quantum Photonics Waveguides

  • Journal: Materials
  • Year: 2022
  • Citations: 2

Measurement and Simulation of Mechanical and Optical Properties of Sputtered Amorphous SiC Coatings

  • Journal: Physical Review Applied
  • Year: 2022
  • Citations: 6

Substrate for SERS sensor realized by DELIL (Double Exposure Laser Interference Lithography) technique

  • Journal: AIP Conference Proceedings
  • Year: 2021
  • Citations: 1

Conclusion 🌟

The candidate is highly suitable for the Best Researcher Award due to their profound contributions to advanced research in silicon photonics and quantum technologies, robust technical skills, and active participation in the scientific community. Their extensive publication record and international collaboration further emphasize their research excellence. With additional focus on showcasing the broader impact and leadership in their field, they could emerge as a standout candidate for this award.

Hossein Molavi | Nanoscale Photonics Research | Best Researcher Award

Assist. Prof. Dr. Hossein Molavi | Nanoscale Photonics Research | Best Researcher Award

Assistant Professor at Institute for Advanced Studies in Basic Sciences, Iran

Dr. Hossein Molavi is an Assistant Professor at the Institute for Advanced Studies in Basic Sciences (IASBS). With a Ph.D. in Nano Science and Nano Technology from Sharif University of Technology, he specializes in designing advanced porous materials for water purification. Dr. Molavi’s research spans metal-organic frameworks, nanocomposites, and sustainable materials for gas separation and wastewater treatment. He is a dedicated scholar with over a decade of experience in innovative materials science.

Profile

Google Scholar

Education 🎓

  • B.Sc. in Applied Chemistry: Bu Ali Sina University, Iran (2012)
  • M.Sc. in Nano Science and Nano Technology – Nano Chemistry: University of Tehran (2014)
  • Ph.D. in Nano Science and Nano Technology: Sharif University of Technology (2018)

Experience 🏫

Dr. Molavi embarked on his academic journey as a researcher focusing on MOF-based mixed-matrix membranes for CO₂ adsorption and separation. He joined IASBS as an Assistant Professor in 2022, where he continues pioneering advancements in functional materials and water purification systems. 🧪

Research Interests 🔬

Dr. Molavi’s research interests include:

  • Advanced Functional Materials
  • Metal–Organic Frameworks (MOFs)
  • Nanocomposites
  • Gas Separation
  • Water Treatment
  • Polymer Synthesis and Functionalization 🌍

Awards 🏆

Dr. Molavi has received numerous accolades, including:

  • 1st Rank in Regional Chemistry Olympiad (2012)
  • National Elite Foundation Scholarships (2016, 2018)
  • 2nd Rank for Best Ph.D. Thesis, Chemical Engineering Society, Iran (2019)
  • Participation in the 70th Lindau Nobel Laureate Meeting (2020 & 2021)
  • Ranked among the top 2% of world scientists based on citation indices (2022, 2023, 2024)

Publications 📚

Cerium-based metal-organic frameworks: Synthesis, properties, and applications

  • Year: 2025
  • Cited by: –

3d-printed MOF monoliths: fabrication strategies and environmental applications

  • Year: 2024
  • Cited by: 2

COF and MOF hybrids: advanced materials for wastewater treatment

  • Year: 2024
  • Cited by: 47

Novel ZIF-8/CNC nanohybrid with an interconnected structure: toward a sustainable adsorbent for efficient removal of Cd (II) ions

  • Year: 2024
  • Cited by: 16

Wastewater treatment using nanodiamond and related materials

  • Year: 2024
  • Cited by: 27

Green Synthesis of Cerium-Based Metal–Organic Framework (Ce-UiO-66 MOF) for Wastewater Treatment

  • Year: 2023
  • Cited by: 18

Metal-organic frameworks: A promising option for the diagnosis and treatment of Alzheimer’s disease.

  • Year: 2023
  • Cited by: 28

Efficient removal of organic dyes using electrospun nanofibers with Ce-based UiO-66 MOFs

  • Year: 2023
  • Cited by: 17

Polyurethane-based membranes for CO2 separation: A comprehensive review

  • Year: 2023
  • Cited by: 21

Waste organic dye removal using MOF-based electrospun nanofibers of high amine density

  • Year: 2023
  • Cited by: 39

Conclusion 🌐

Dr. Hossein Molavi is a highly suitable candidate for the “Research for Best Researcher Award.” His remarkable research contributions, academic achievements, and global recognition position him as a leader in the field. Addressing areas like patenting and community engagement could further strengthen his candidacy.